EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.
As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.
With more opportunity than ever to design, innovate, and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.
Reporting to the Senior Data Science Manager, we are looking for a Data Engineer passionate about building high impact end to end data pipelines driving actionable insights. We are a small team of multidisciplinary data professionals. The ideal candidate is comfortable working in a dynamic environment where they can wear multiple hats to achieve the business goals while delivering quality work. Daily responsibilities include but are not limited to working directly with stakeholders to collect requirements, write design documents, implement ETLs and data quality checks.
Your Responsibilities:
Work with raw data, design schemas, optimize data transformation, and manage deployments and maintenance of data pipelines
Develop business intelligence and reporting solutions
Develop real-time ingestion, processing, and alerting data pipelines
Evaluate feasibility and effectiveness of proposed data solutions
End-to-end administration and maintain tools, systems, pipelines and ETLs
Communicate designs, issues, and trade-offs to stakeholders
Your Qualifications
- Ability to think and solve complex data engineering problems in maintainable and scalable fashion
- Hands-on experience with SQL and no-SQL databases
- 1+ years of experience with Big Data technologies such as Trino, Spark, Databricks, Kafka
- 1+ years of experience with data pipeline and workflow management tools such as Airflow
- 1+ years of experience using business intelligence reporting tools such as Tableau or Looker
- 1+ years of experience working with Cloud technologies (preferably AWS)
- Knowledge and experience with several programming languages such as Python, C#, Scala
- Familiarity with machine learning, and statistical approaches to data analysis